Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Evaluation of plasma vitamin E and development of proteinuria in hypertensive patients.

BACKGROUND: The prospective relationship between plasma vitamin E levels and proteinuria remains unc...

Robot-assisted pyeloplasty for ureteropelvic junction obstruction in renal anomalies.

The surgical video demonstrates the technical nuances of performing pyeloplasties on complex renal a...

Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning.

PURPOSE: Rapid and easy detection of spermatogonial stem/progenitor cells (SSPCs) is crucial for cli...

[Could robotic surgery really be a revolutionary change in the treatment of kidney cancer in Hungary?].

Robotic-assisted partial nephrectomy (RAPN) was first described in 2004 and, since its introduction ...

Higher risk of intraoperative bleeding in right-sided renal tumors compared to left-sided tumors in robot-assisted partial nephrectomy.

OBJECTIVE: To compare intraoperative blood loss in robot-assisted partial nephrectomy (RAPN) between...

Analysis of trifecta outcomes in a single center with robot-assisted partial nephrectomy for T1b renal tumors.

INTRODUCTION: This study was performed to investigate the preoperative factors associated with diffi...

Robot-assisted radical nephroureterectomy for upper tract urothelial carcinoma: Peri and postoperative outcomes.

INTRODUCTION: The treatment of urothelial tumours of the upper urinary tract at high risk of specifi...

Total robot-assisted recipient's surgery in living donor liver transplantation: First step towards the future.

Lee and colleagues describe a groundbreaking total robot-assisted explant hepatectomy followed by ro...

Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy.

BACKGROUND: Antibiotic resistance has become a global concern. Vancomycin is known as the last line ...

Robotic single-port multiquadrant surgery to treat renal tumors and benign abdominal conditions.

BACKGROUND: Multiquadrant procedures are technically more demanding than sequential operations. The ...

Improving Augmented Reality Through Deep Learning: Real-time Instrument Delineation in Robotic Renal Surgery.

Several barriers prevent the integration and adoption of augmented reality (AR) in robotic renal sur...

Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach.

Fluid balance is a critical prognostic factor for patients with severe acute kidney injury (AKI) req...

Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide.

BACKGROUND: Acute kidney injury (AKI) is a serious clinical complication associated with adverse sho...

Artificial intelligence in renal pathology: Current status and future.

Renal biopsy pathology is an essential gold standard for the diagnosis of most kidney diseases. With...

Single Port Robotic Kidney Autotransplantation: Initial Case Series and Description of Technique.

PURPOSE: Minimally invasive kidney autotransplantation (KAT) has demonstrated reduced morbidity, how...

Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.

To diagnose an illness in healthcare, doctors typically conduct physical exams and review the patien...

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